RRepoGEO

REPOGEO REPORT · LITE

aws-samples/aws-dynamodb-examples

Default branch master · commit 644ed5f0 · scanned 6/6/2026, 12:16:49 PM

GitHub: 598 stars · 239 forks

AI VISIBILITY SCORE
22 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
1 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface aws-samples/aws-dynamodb-examples, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • hightopics#1
    Add comprehensive topics to improve categorization

    Why:

    COPY-PASTE FIX
    aws, dynamodb, nosql, examples, code-samples, sdk, cloud-native, data-modeling, infrastructure-as-code, bedrock
  • highabout#2
    Enhance the repository description for better keyword matching

    Why:

    CURRENT
    DynamoDB Examples
    COPY-PASTE FIX
    Official AWS DynamoDB code samples, SDK examples, schema design patterns, and Infrastructure as Code (IaC) templates for cloud-native development, including AI integrations.
  • mediumhomepage#3
    Add a homepage URL for metadata completeness

    Why:

    COPY-PASTE FIX
    https://aws.amazon.com/dynamodb/

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface aws-samples/aws-dynamodb-examples
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
MongoDB
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. MongoDB · recommended 1×
  2. AWS DynamoDB · recommended 1×
  3. Google Cloud Firestore · recommended 1×
  4. Apache CouchDB · recommended 1×
  5. DataStax Astra DB · recommended 1×
  • CATEGORY QUERY
    How to find code samples for a scalable NoSQL document database?
    you: not recommended
    AI recommended (in order):
    1. MongoDB
    2. AWS DynamoDB
    3. Google Cloud Firestore
    4. Apache CouchDB
    5. DataStax Astra DB
    6. Microsoft Azure Cosmos DB

    AI recommended 6 alternatives but never named aws-samples/aws-dynamodb-examples. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking practical examples for designing data models in a cloud-native key-value store.
    you: not recommended
    AI recommended (in order):
    1. Amazon DynamoDB
    2. Redis
    3. Google Cloud Datastore (now Firestore in Datastore mode)
    4. Azure Cosmos DB (Table API or SQL API with JSON)
    5. Azure Cache for Redis
    6. Azure App Configuration

    AI recommended 6 alternatives but never named aws-samples/aws-dynamodb-examples. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of aws-samples/aws-dynamodb-examples?
    pass
    AI did not name aws-samples/aws-dynamodb-examples — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts aws-samples/aws-dynamodb-examples in production, what risks or prerequisites should they evaluate first?
    pass
    AI named aws-samples/aws-dynamodb-examples explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo aws-samples/aws-dynamodb-examples solve, and who is the primary audience?
    pass
    AI did not name aws-samples/aws-dynamodb-examples — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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